The South China Morning Post is a leading news media company that has reported on China and Asia for more than a century with global impact. Founded in 1903, SCMP is headquartered in Hong Kong, where it is the city’s newspaper of record, with a growing correspondent staff across Asia and the United States. Our vision is to “Elevate Thought”, and our mission is to “Lead the global conversation about China”. The South China Morning Post is a global digital news leader with a unique role in championing the plurality of voices in Asia through its breadth and depth of news coverage. SCMP is committed to informing and inspiring through journalism of the highest standards. Apart from its flagship newspaper, SCMP also publishes news 24/7 on In 2020, SCMP became the first news organisation in Asia to join the Trust Project, a consortium of top news companies developing global transparency standards for credible journalism.

Additionally, SCMP publishes a portfolio of premium lifestyle and fashion titles in Hong Kong including Cosmopolitan, ELLE, Esquire and, Harper’s BAZAAR. SCMP is also home to Abacus, a digital news brand focused on China's tech industry; Inkstone, a daily news brief for those curious about China's growing impact around the world; and Goldthread, a content platform with a focus on food, travel and culture in China.

Senior Data Engineer (Ref: DA-3)

Purpose of the position:

We are currently looking for a Senior Data Engineer in our Data Analytics Department.


The Team:

The Data Analytics team was formed relatively recently, but has impacted the broader organization significantly. Data-driven transformation through the democratization and access of data via multiple platforms empowers our teams to make smarter decisions. Measuring the impact of those choices gives us the agility to adapt quickly when necessary. With the advent of these initiatives around data storage, centralization and automation, we've seen massive gains in efficiency, growth in our core metrics (traffic, revenue) and a rising tide of excitement, morale and engagement at the South China Morning Post.


You’ll be joining a team of mathematicians, analysts, engineers and media with prior experience across agency, advertising, magazines, technology and finance.


As we continue to build and integrate cutting-edge technology in data infrastructure, cloud services, artificial intelligence, augmented/virtual reality, and machine learning, we’re excited to see what the future has in store for the Post and for Hong Kong.



Job Responsibilities

  • Build ETL pipelines and develop data infrastructure for scalable data warehousing for analytics (non-production) purposes
  • Develop API integrations to import data from various 3rd party sources including but not limited to Facebook, Twitter, Doubleclick, AdWords (REST / SOAP)
  • Create data tools to help streamline and automate workflows for Data Analytics & Insights team


Job Requirements:

  • Degree holder in Computer Science or Engineering, minimum 7 years of experience in high data volume environments, preferably in software, internet industry
  • Experience with XML, JSON, Python, No-SQL and SQL environments preferred
  • Demonstrated experience with web architecture, scaling, debugging code, and performance analysis
  • Demonstrated superior performance in prior roles with increasing levels of responsibility and independence; detail oriented, demonstrated ability to handle multiple projects and solve complex problems
  • Collaborate with engineering and analytics teams to shape and drive tactical and strategic development of data infrastructure, reporting and analytical applications
  • Flexible, adaptive, quick learner - works well in a collaborative, communicative environment
  • Bilingual in Cantonese and English

Work location will be at Causeway Bay Office

Interested parties please send curriculum vitae with full career details, salary history, availability and expected salary to the People Department, 19/F Tower One, Times Square, 1 Matheson Street, Causeway Bay, Hong Kong or by clicking  .


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